Abstract
Decisional systems are based on multidimensional databases improving OLAP analyses. This chapter describes a new OLAP operator named “BLEND” that performs multigranular analyses. This operation transforms multidimensional structures when querying in order to analyze measures according to several granularity levels like one parameter. We study valid uses of this operation in the context of strict hierarchies. Experiments within a R-OLAP implementation show the light cost of the operator.
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Hubert, G., Teste, O. (2010). Multigranular Manipulations for OLAP Querying. In: Guillet, F., Ritschard, G., Zighed, D.A., Briand, H. (eds) Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00580-0_6
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